
\begin{table}
\caption{Predicting issue emphasis in Q\&A sessions conditional on the gender and professional background of experts}
\begin{center}
\begin{footnotesize}
\begin{tabular}{l c c}
\hline
 & M 1 (Gender) & M 2 (Profession) \\
\hline
Topic Prevalence                               & $3.60^{***}$ & $2.98^{***}$ \\
                                               & $(0.37)$     & $(0.33)$     \\
Female Expert (ref: Male Expert)               & $0.70^{**}$  &              \\
                                               & $(0.23)$     &              \\
Topic Prevalence $\times$ Female Expert        & $-1.62^{**}$ &              \\
                                               & $(0.54)$     &              \\
Background: Academic (ref.: Other)             &              & $0.38$       \\
                                               &              & $(0.25)$     \\
Topic Prevalence $\times$ Background: Academic &              & $-0.07$      \\
                                               &              & $(0.56)$     \\
\hline
Controls                                       & \checkmark   & \checkmark   \\
Fixed Effects: 4 Issues                        & \checkmark   & \checkmark   \\
Fixed Effects: Topics                          & \checkmark   & \checkmark   \\
Deviance                                       & $203.30$     & $207.96$     \\
Num. obs.                                      & $571$        & $571$        \\
\hline
\multicolumn{3}{l}{\tiny{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\end{footnotesize}
\label{tab:reg_gender_background}
\end{center}
\end{table}
